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DBMS > Apache Impala vs. OpenMLDB vs. Sequoiadb vs. SQream DB

System Properties Comparison Apache Impala vs. OpenMLDB vs. Sequoiadb vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open-source machine learning database that provides a feature platform for training and inferenceNewSQL database with distributed OLTP and SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteimpala.apache.orgopenmldb.aiwww.sequoiadb.comsqream.com
Technical documentationimpala.apache.org/­impala-docs.htmlopenmldb.ai/­docs/­zh/­mainwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Cloudera4 Paradigm Inc.Sequoiadb Ltd.SQream Technologies
Initial release2013202020132017
Current release4.1.0, June 20222024-2 February 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, ScalaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinuxLinuxLinux
Data schemeyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes, ANSI Standard SQL Types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
JDBC
SQLAlchemy
proprietary protocol using JSON.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java
Python
Scala
.Net
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJavaScriptuser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardsimple password-based access control

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More resources
Apache ImpalaOpenMLDBSequoiadbSQream DB
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